Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
From basic survival analytic theory ...
~
SpringerLink (Online service)
From basic survival analytic theory to a non-standard application
Record Type:
Electronic resources : Monograph/item
Title/Author:
From basic survival analytic theory to a non-standard applicationby Georg Zimmermann.
Author:
Zimmermann, Georg.
Published:
Wiesbaden :Springer Fachmedien Wiesbaden :2017.
Description:
ix, 100 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Regression analysis.
Online resource:
http://dx.doi.org/10.1007/978-3-658-17719-5
ISBN:
9783658177195$q(electronic bk.)
From basic survival analytic theory to a non-standard application
Zimmermann, Georg.
From basic survival analytic theory to a non-standard application
[electronic resource] /by Georg Zimmermann. - Wiesbaden :Springer Fachmedien Wiesbaden :2017. - ix, 100 p. :ill., digital ;24 cm. - BestMasters. - BestMasters..
Regression Models for Survival Data -- Model Checking Procedures -- Life Expectancy.
Georg Zimmermann provides a mathematically rigorous treatment of basic survival analytic methods. His emphasis is also placed on various questions and problems, especially with regard to life expectancy calculations arising from a particular real-life dataset on patients with epilepsy. The author shows both the step-by-step analyses of that dataset and the theory the analyses are based on. He demonstrates that one may face serious and sometimes unexpected problems, even when conducting very basic analyses. Moreover, the reader learns that a practically relevant research question may look rather simple at first sight. Nevertheless, compared to standard textbooks, a more detailed account of the theory underlying life expectancy calculations is needed in order to provide a mathematically rigorous framework. Contents Regression Models for Survival Data Model Checking Procedures Life Expectancy Target Groups Researchers, lecturers, and students in the fields of mathematics and statistics Academics and experts working in the life sciences, especially in the medical field The Author Georg Zimmermann is a PhD student at the University of Salzburg and research associate at Christian-Doppler-Klinik, Salzburg.
ISBN: 9783658177195$q(electronic bk.)
Standard No.: 10.1007/978-3-658-17719-5doiSubjects--Topical Terms:
181872
Regression analysis.
LC Class. No.: QA278.2
Dewey Class. No.: 519.536
From basic survival analytic theory to a non-standard application
LDR
:02311nmm a2200337 a 4500
001
512202
003
DE-He213
005
20170401064552.0
006
m d
007
cr nn 008maaau
008
171226s2017 gw s 0 eng d
020
$a
9783658177195$q(electronic bk.)
020
$a
9783658177188$q(paper)
024
7
$a
10.1007/978-3-658-17719-5
$2
doi
035
$a
978-3-658-17719-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA278.2
072
7
$a
PBT
$2
bicssc
072
7
$a
PBWL
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
082
0 4
$a
519.536
$2
23
090
$a
QA278.2
$b
.Z74 2017
100
1
$a
Zimmermann, Georg.
$3
779960
245
1 0
$a
From basic survival analytic theory to a non-standard application
$h
[electronic resource] /
$c
by Georg Zimmermann.
260
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Spektrum,
$c
2017.
300
$a
ix, 100 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
BestMasters
505
0
$a
Regression Models for Survival Data -- Model Checking Procedures -- Life Expectancy.
520
$a
Georg Zimmermann provides a mathematically rigorous treatment of basic survival analytic methods. His emphasis is also placed on various questions and problems, especially with regard to life expectancy calculations arising from a particular real-life dataset on patients with epilepsy. The author shows both the step-by-step analyses of that dataset and the theory the analyses are based on. He demonstrates that one may face serious and sometimes unexpected problems, even when conducting very basic analyses. Moreover, the reader learns that a practically relevant research question may look rather simple at first sight. Nevertheless, compared to standard textbooks, a more detailed account of the theory underlying life expectancy calculations is needed in order to provide a mathematically rigorous framework. Contents Regression Models for Survival Data Model Checking Procedures Life Expectancy Target Groups Researchers, lecturers, and students in the fields of mathematics and statistics Academics and experts working in the life sciences, especially in the medical field The Author Georg Zimmermann is a PhD student at the University of Salzburg and research associate at Christian-Doppler-Klinik, Salzburg.
650
0
$a
Regression analysis.
$3
181872
650
0
$a
Survival analysis (Biometry)
$3
182534
650
1 4
$a
Mathematics.
$3
184409
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
274061
650
2 4
$a
Mathematical and Computational Biology.
$3
514442
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
BestMasters.
$3
676593
856
4 0
$u
http://dx.doi.org/10.1007/978-3-658-17719-5
950
$a
Mathematics and Statistics (Springer-11649)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000141456
電子館藏
1圖書
電子書
EB QA278.2 Z74 2017
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-658-17719-5
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login